Measurement uncertainty is a critical parameter that reflects the degree of confidence in the results provided by analytical and clinical laboratories. It encompasses the evaluation of both random ...

Systematic sampling is straightforward and low risk, offering better control. However, it may introduce sampling errors and ...

Figure 1 shows that individual measurement values hover around a mean value and the difference between the mean value and true value is the systematic error of ...

When gathering a measurement using a spectroscopy instrument, the user wants to be confident in the result. Whether the technique is OES, XRF, or LIBS, or if thickness or composition are measured, the ...

GPS receivers must deal with measurements and models that have some degree of error, which gets propagated into the position solution. If the errors are systematically different for the different ...

Science journalism is more popular than ever, but it comes with plenty of sensationalism. Stories reporting that “everything you ever thought about xxx was wrong” generate the most page-clicks so ...

How confident are you in your lab results? This paper explores this question and, by way of a worked example, provides a methodology to answer it. Many may wonder at the number of analytical chemists ...

With the usage of micropipettes in the life science laboratory, various pipette and pipetting errors have been linked. Users familiar with such micropipette issues can assist users to reduce further ...

In this article, I will show how random errors, legal uncertainties, judicial bias, and application of multiple rules and doctrines affect the probabilities of PTAB invalidation of patents. I will use ...